Philosophy and Artificial Intelligence 2024: Difference between revisions
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[https://www.usi.ch/en/education/master/philosophy MAP, USI, Lugano], Spring 2024 | [https://www.usi.ch/en/education/master/philosophy MAP, USI, Lugano], Spring 2024 | ||
'''Background''' | '''Background''' | ||
[[Philosophy and Artificial Intelligence 2025]] | |||
Artificial Intelligence (AI) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent. On the strong version, the ultimate goal of AI is to create what is called ''General Artificial Intelligence'' (AGI), by which is meant an artificial system that is as intelligent as a human being. | Artificial Intelligence (AI) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent. On the strong version, the ultimate goal of AI is to create what is called ''General Artificial Intelligence'' (AGI), by which is meant an artificial system that is as intelligent as a human being. | ||
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:The 'replication problem' is the the inability of scientific communities to independently confirm the results of scientific work. Much has been written on this problem especially as it arises in (social) psychology, and on potential solutions under the heading of 'open science'. But we will see that the replication problem has plagued medicine as a positive science since its beginnings (Virchov and Pasteur). This problem has become worse over the last 30 years and has massive consequences for healthcare practice and policy. | :The 'replication problem' is the the inability of scientific communities to independently confirm the results of scientific work. Much has been written on this problem especially as it arises in (social) psychology, and on potential solutions under the heading of 'open science'. But we will see that the replication problem has plagued medicine as a positive science since its beginnings (Virchov and Pasteur). This problem has become worse over the last 30 years and has massive consequences for healthcare practice and policy. | ||
[https://buffalo.box.com/s/m3nu15lqjw0qhpqycz3wjsai057p9jf6 Slides] | |||
Background: | Background: | ||
Latest revision as of 15:57, 25 September 2024
Philosophy and Artificial Intelligence 2024
Jobst Landgrebe and Barry Smith
MAP, USI, Lugano, Spring 2024
Background
Philosophy and Artificial Intelligence 2025
Artificial Intelligence (AI) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent. On the strong version, the ultimate goal of AI is to create what is called General Artificial Intelligence (AGI), by which is meant an artificial system that is as intelligent as a human being.
Since its inception in the middle of the last century AI has enjoyed repeated cycles of enthusiasm and disappointment (AI summers and winters). Recent successes of ChatGPT and other Large Language Models (LLMs) have opened a new era popularization of AI. For the first time, AI tools have been created which are immediately available to the wider population, who for the first time can have real hands-on experience of what AI can do.
These developments in AI open up a series of questions such as:
- Will the powers of AI continue to grow in the future, and if so will they ever reach the point where they can be said to have intelligence equivalent to or greater than that of a human being?
- Could we ever reach the point where we can accept the thesis that an AI system could have something like consciousness or sentience?
- Could we reach the point where an AI system could be said to behave ethically, or to have responsibility for its actions.
- Can quantum computers enable a stronger AI than what we have today?
We will describe in detail how stochastic AI work, and consider these and a series of other questions at the borderlines of philosophy and AI. The class will close with presentations of papers on relevant topics given by students.
Some of the material for this class is derived from our book
and from the companion volume
- Symposium on Why Machines Will Never Rule the World — Guest editor, Janna Hastings, University of Zurich
which will appear as a special issue of the public access journal Cosmos + Taxis in early 2024.
Faculty
Jobst Landgrebe is the founder and CEO of Cognotekt, GmBH, an AI company based in Cologne specialised in the design and implementation of holistic AI solutions. He has 20 years experience in the AI field, 8 years as a management consultant and software architect. He has also worked as a physician and mathematician, and he views AI itself -- to the extent that it is not an elaborate hype -- as a branch of applied mathematics. CUrrently his primary focus is in the biomathematics of cancer.
Barry Smith is one of the world's most widely cited philosophers. He has contributed primarily to the field of applied ontology, which means applying philosophical ideas derived from analytical metaphysics to the concrete practical problems which arise where attempts are made to compare or combine heterogeneous bodies of data.
Course Description
Artificial Intelligence (AI) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent. On the strong version, the ultimate goal of AI is to create an artificial system that is as intelligent as a human being. Recent striking successes such as AlphaFold have convinced many not only that this objective is obtainable but also that in a not too distant future machines will become even more intelligent than human beings.
The actual and possible developments in AI open up a series of striking questions such as:
- Can a computer have a conscious mind?
- Can a computer have desires, a will, and emotions?
- Can a computer have responsibility for its behavior
- Would machine intelligence, if there is such a thing, be something comparable to human intelligence or something quite different?
In addition, new developments in the AI field make it possible for us to consider a series of philosophical questions in a new light, including:
- Could a machine have something like a personal identity? Would I really survive if the contents of my brain were uploaded to the cloud?
- What is it for a human to behave in an ethical manner? (Could there be something like machine ethics? Could machines used in fighting wars be programmed to behave ethically?)
- What is a meaningful life? If routine, meaningless work in the future is performed entirely by machines, will this make possible new sorts of meaningful lives on the part of humans?
After introducing the relevant ideas and tools from both AI and philosophy, all the aforementioned questions will be thoroughly addressed in class discussions. The class will close with presentations of papers on relevant topics given by students.
Grading
- Essay with presentation: 80%
- Essay with no presentation: 95%
- Presentation: 15%
- Class Participation 5%
Draft Schedule
Tuesday, February 20 (14:30-17:15) Introduction: Philosophy and Artificial Intelligence
- Room: A23
We begin with a survey of the development of AI research from 1970 to today, paying attention especially to the background role of ontology (Knowledge Graphs) in this development.
We then outline the main theses of the recent book, Why Machines Will Never Rule the World, by Landgrebe and Smith, before moving on to discuss the relation between a human mind and the intelligence that might be ascribed to a machine.
Wednesday February 21 (14:30-17:15): The Glory and the Misery of ChatGPT
- Room: A23
Part 1: What is intelligence?
All students are expected to have some familiarity with Searle's Chinese Room Argument.
Machines cannot have intentionality; they cannot have experiences which are about something. Searle: Minds, Brains, and Programs
What are the essential marks of human intelligence?
The classical psychological definitions of intelligence are:
- A. the ability to adapt to new situations (applies both to humans and to animals)
- B. a very general mental capability (possessed only by humans) that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience
Can a machine be intelligent in either of these senses?
Readings:
- Linda S. Gottfredson. Mainstream Science on Intelligence. In: Intelligence 24 (1997), pp. 13–23.
Human and machine intelligence
- Jobst Landgrebe and Barry Smith: There is no Artificial General Intelligence
Part 2: An introduction to ChatGPT. How is it built? How does it work? Is it intelligent?
Can ChatGPT become intelligent?
Are Large Language Models a threat to humanity?
Capabilities, or: What do IQ tests measure?
Is Psychology Finished?
The human brain and the Theory of complex systems
- Jobst Landgrebe and Barry Smith: Making AI Meaningful Again
- S. Thurner et al. (2018): Introduction to the theory of complex systems (Oxford)
Thursday, February 22 (14:30 - 17:15): Can an Artificial Intelligence Act?
- Room: A23
What is agency?
- Featuring Emanuele Martinelli. Emanuele is a PhD student in philosophy at the University of Zurich, co-affiliated with the Chair of Political Philosophy and the Digital Society Initiative. He has a bachelor's in philosophy and a master's in philosophy and economics, both from USI.
- What are the different types of agency?
- Examples of collective agency, government agency, agency of socio-technical systems (armies, corporations, ...)
- Relation between agency and responsibility. (Responsibility as the origin of ethics.)
- Can an AI be responsibe?
- Can there be such a thing as an AI will?
Agency and the capacities and limits of AI
- Case study: AI and economic planning
- Hayek's knowledge problem
- The price system and market competition
- Market economies vs planned economies: the agents at stake
- Proposed ways to use AI to plan the economy
- The role of the entrepreneur
- Can AI be entrepreneurial
Background reading:
- "On the Feasibility of Technosocialism"
- "Group Agency and Artificial Intelligence"
- "Toward a General Model of Agency"
Friday, February 23 (9:30 - 12:15) No Machine Will
- Room: A23
Computers cannot have a will, because computers don't give a damn. Therefore there can be no machine ethics
- The lack of the giving-a-damn-factor is taken by Yann LeCun as a reason to reject the idea that AI might pose an existential risk to humanity – an AI will have no desire for self-preservation “Almost half of CEOs fear A.I. could destroy humanity five to 10 years from now — but ‘A.I. godfather' says an existential threat is ‘preposterously ridiculous’” Fortune, June 15, 2023. See also here.
Implications of the absence of a machine will:
- The problem of the singularity (when machines will take over from humans) will not arise
- The idea of digital immortality will never be realized Slides
- The idea that human beings are simulations can be rejected
- There can be no AI ethics (only: ethics governing human beings when they use AI)
- Fermi's paradox is solved
Monday, May 13 (9:30 - 12:15) The absolute limits of AI
- Room: A23
Topics to be dealt with include:
- What is AI?
- How does it work?
- What are its limits?
- And what about ChatGPT?
Background: Will AI Destroy Humanity? A Soho Forum Debate (Spoiler: Jobst won)
Tuesday, May 14 (9:30 - 12:15) The ontology of physics
- Room: A23
The ontology of physics
Wednesday May 15 (9:30 - 12:15): Are we living in a simulation? (II), digital twins and and Certifiable AI
- Room: A23
On David Chalmers' theory of reality and the role of physics Slides
Thursday May 16 (14:30 - 18:15) The Replication Problem
- Room: A23
Complex Systems and Cognitive Science: Why the Replication Problem is here to stay
- The 'replication problem' is the the inability of scientific communities to independently confirm the results of scientific work. Much has been written on this problem especially as it arises in (social) psychology, and on potential solutions under the heading of 'open science'. But we will see that the replication problem has plagued medicine as a positive science since its beginnings (Virchov and Pasteur). This problem has become worse over the last 30 years and has massive consequences for healthcare practice and policy.
Background:
- Reproducibility of Scientific Results, Stanford Encyclopedia of Philosophy, 2018
- Science has been in a “replication crisis” for a decade
- Irreproducibility Crisis and the Lehman Crash, Barry Smith, Youtube 2020
Friday May 17 (9:30-12:15) Student Presentations and Concluding Survey
- Room: A23
- 9:45 Julien Mommer, What is the Intelligence in "Artificial Intelligence"
ChatGPT and its Future
The Indispensability of Human Creativity
Capabilities: The Interesting Version of the Story
- Student Presentations
Background Material
An Introduction to AI for Philosophers
(AI experts are invited to criticize what I have to say in this talk)
An Introduction to Philosophy for Computer Scientists
(Philosophers are invited to criticize what I have to say in this talk)
